This role pays more than
54%
of similar roles. Most pay
$190,150–$249,750
— the shaded band above.
At the midpoint, this role pays about
$210k
versus about
$220k
for comparable roles.
Based on 239 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
1723 open roles
on FindRole.
Listed pay typically runs
$162,500–$272,100
across 1398 roles with salary data.
As an ML Framework Engineer at Apple’s Server ML Frameworks team in GPU, Graphics, and Machine Learning, you will work on cutting-edge projects to optimize ML inference frameworks for high-throughput GPU execution across diverse server hardware. Your day-to-day responsibilities include developing kernel and compiler optimizations, applying advanced model optimization techniques, and collaborating with cross-functional teams to ensure software performance aligns with hardware capabilities. You will focus on distributed compute strategies like data, tensor, pipeline, and expert parallelism, as well as analyzing performance metrics such as latency and memory footprint. The ideal candidate has a strong background in GPU programming using Metal or CUDA, experience with distributed training techniques, and familiarity with graph compilers like CuTE or LLVM. This role offers the chance to influence next-generation GPU architecture design within Apple’s robust ecosystem of custom-built server hardware for secure and powerful private cloud computing solutions.